Business Administration

The course covers methods for data mining and business analytics and their usage in making strategic business decisions. It concentrates on the modelling aspects of data mining and provides tools for better understanding key methods of data exploration, visualization, classification, prediction, and clustering. The course starts with data visualization and getting to know features hidden in the data. Traditional regression models and hypothesis testing are practiced using real data. This introduction to traditional approaches then leads to the discussion of more advanced methods such as, discriminant analysis, classification and clustering methods, which are useful in finding patterns hidden in the data. The course deals with various types of data such as categorical data, time series, text data, and network data, among others. The fundamentals of building suitable models are discussed. Illustrations are carried out using the statistical package R. 

 

This course is intended to introduce students having no previous experience of project investment appraisal to the ways in which such investments can be analyzed. Students who wish to enter the business world, either working for companies or for themselves, are required to conduct formal assessments of a proposed project (or business) and present these to decision-makers. The course equips students to conduct such analyses, by describing a case study (chosen by the student), modelling it using formal techniques and indicators, and to present the results in a well-structured document. In the past a variety of projects have been examined, including sports centers, restaurants, new products, renewable energy schemes, an escort agency, theme park, retail businesses, driving school, hotels and hostels, a company take- over, etc. 

The course develops students’ understanding of key marketing terminology and conceptual frameworks; provides students with an understanding of the role marketing plays in businesses and not-for-profit organizations and its importance for individuals within a society; provides students with: a) an understanding of buyer behavior and b) a skill to apply this knowledge for building firms’ competitive advantage; develops students’ understanding of how different organizations develop their marketing mix strategies while also paying attention to quality, ethical behavior, and social responsibility; and develops students’ knowledge of marketing tools and procedures used to analyze a variety of business situations.

This course provides students with a detailed understanding of eSports, enabling them to analyze the current ecosystem and identify the potential that it has for future growth and development. This course examines the concept and history of eSports, different modalities for play, eSports organizations, eSports players and fans, media platforms for hosting and streaming events, types and structures of competition, and the organization of teams and entities. Students also learn both the positive and toxic sides of eSports, the socio-cultural influences of eSports, and the relationship between eSports and the Olympics. The course covers the unique fandom of eSports, the similarities and differences from traditional sports, and how the organization and institutionalization of a computer-mediated culture have created a global phenomenon that is changing the way we think about sports.